VectorĀ¶
Vector is base class of other vector like classes. It represents a series of vectors.
InĀ [1]:
from py3d import Vector
Vector()
Out[1]:
Vector([], dtype=float64)
InĀ [3]:
Vector([0, 0, 0, 0])
Out[3]:
Vector([0, 0, 0, 0])
InĀ [5]:
Vector([1, 2, -4])
Out[5]:
Vector([ 1, 2, -4])
InĀ [7]:
Vector([1, 2, 3]).tile(2)
Out[7]:
Vector([[1, 2, 3],
[1, 2, 3]])
InĀ [9]:
import py3d
py3d.Vector([1, 2, 0, 3])
Out[9]:
Vector([1, 2, 0, 3])
InĀ [10]:
Vector([1]).tile(2)
Out[10]:
Vector([[1],
[1]])
Get unit vector
InĀ [12]:
import py3d
V32 = py3d.Vector([
[1, 3],
[2, -9],
[0.1, -3]])
V32.U
Out[12]:
Vector([[ 0.31622777, 0.9486833 ],
[ 0.21693046, -0.97618706],
[ 0.03331483, -0.99944491]])
Get length of vectors
InĀ [13]:
V32.L
Out[13]:
Vector([3.16227766, 9.21954446, 3.0016662 ])
InĀ [15]:
from numpy import allclose
assert allclose(V32.U.L, [[1], [1], [1]])
Get homogeneous vector
InĀ [16]:
V32.H
Out[16]:
Vector3([[ 1. , 3. , 1. ],
[ 2. , -9. , 1. ],
[ 0.1, -3. , 1. ]])
Get a series of random vectors
InĀ [18]:
import py3d
py3d.rand(2, 3, 4)
Out[18]:
Vector4([[[0.31297758, 0.93520087, 0.1379768 , 0.91311454],
[0.64502531, 0.02330258, 0.65628226, 0.69934541],
[0.4272977 , 0.38758952, 0.59168143, 0.77332085]],
[[0.85018476, 0.71940902, 0.74903987, 0.05826913],
[0.42385397, 0.27474287, 0.18005709, 0.82244578],
[0.42680413, 0.51390004, 0.78602228, 0.01952504]]])
InĀ [20]:
import py3d
py3d.Vector([[0, 0], [1, 2], [3, 4]]).diff()
Out[20]:
Vector([[1, 2],
[2, 2]])
Get a flattened copy of a vector
InĀ [22]:
import py3d
py3d.Vector([[[1,2,3]],[[4,5,6]]]).flatten()
Out[22]:
Vector([[1, 2, 3],
[4, 5, 6]])
Fill nan elements of a Vector
InĀ [24]:
import py3d
py3d.Vector([0, 1, float("nan")]).fillna(-1)
Out[24]:
Vector([ 0., 1., -1.])
Drop duplicates
InĀ [25]:
import py3d
py3d.Vector([
[1,2,1],
[2,3,4],
[1,2,1],
[5,3,4]
]).unique()
Out[25]:
Vector([[1, 2, 1],
[2, 3, 4],
[5, 3, 4]])
Read an image
InĀ [26]:
import py3d
py3d.read_img("./20220917214012.jpg").as_image()
Out[26]:
Read a txt file storing poses
InĀ [27]:
import py3d
poses = py3d.read_txt("poses.txt")
poses
Out[27]:
Vector([[ 1. , -0.38009858, -0.92467821, -0.02225479, 846.2467971 , -0.92381071, 0.38071388, -0.04038213, 3725.075626 , 0.04581318, 0.00521002, -0.99893644, 115.2776042 ],
[ 9. , -0.33478138, -0.94192187, -0.02654461, 846.339549 , -0.94114833, 0.33563081, -0.03989722, 3725.29806 , 0.04648925, 0.01162557, -0.99885114, 115.2612811 ],
[ 14. , -0.29296799, -0.95575796, -0.02639101, 846.4037923 , -0.95501915, 0.293844 , -0.03992654, 3725.508866 , 0.04591495, 0.01350672, -0.99885404, 115.2465809 ],
[ 22. , -0.25582311, -0.96643387, -0.02366668, 846.4521737 , -0.96565419, 0.25661472, -0.04075369, 3725.723345 , 0.04545896, 0.0124281 , -0.9988889 , 115.2352558 ],
[ 30. , -0.22198089, -0.97488512, -0.01798596, 846.4980023 , -0.97409612, 0.22254193, -0.04014767, 3725.955861 , 0.043142 , 0.00860804, -0.99903187, 115.2302131 ],
[ 35. , -0.18959113, -0.98172114, -0.01669745, 846.5432516 , -0.98076473, 0.19015581, -0.04406021, 3726.191177 , 0.04642996, 0.00802284, -0.99888933, 115.2168146 ],
[ 53. , -0.15254459, -0.98823256, -0.01124982, 846.5785177 , -0.98779343, 0.15282023, -0.03016809, 3726.412478 , 0.03153229, 0.00651051, -0.99948153, 115.2403334 ],
[ 57. , -0.1082222 , -0.99412667, -0.00034593, 846.5941848 , -0.99364056, 0.10818015, -0.03123283, 3726.643638 , 0.03108681, -0.00303635, -0.99951208, 115.2390776 ],
[ 61. , -0.05474059, -0.99850018, -0.00092533, 846.621932 , -0.99832163, 0.0547483 , -0.01888239, 3726.877597 , 0.01890473, -0.00010986, -0.99982128, 115.2613816 ],
[ 65. , 0.00232874, -0.9999955 , 0.00189192, 846.6288611 , -0.99995916, -0.00234517, -0.00872806, 3727.13067 , 0.00873246, -0.00187151, -0.99996012, 115.2742539 ]])
InĀ [28]:
import py3d
poses[:, [4,8,12]].to_txt("traj.txt", delimiter=" ")
Write csv file
InĀ [29]:
import py3d
py3d.Vector([[1,2,3],[4,5,6]], columns=["t","x","y"]).to_csv("with_cols.csv")
py3d.Vector([[7,8.4,9],[-1,-2,-3]]).to_csv("no_cols.csv")
Read csv file
InĀ [30]:
import py3d
a=py3d.read_csv("with_cols.csv", header=1)
a["t"], a["t","x"], a[1,2]
Out[30]:
(Vector([1., 4.]),
Vector([[1., 2.],
[4., 5.]]),
6.0)
InĀ [31]:
import py3d
py3d.read_csv("no_cols.csv")
Out[31]:
Vector([[ 7. , 8.4, 9. ],
[-1. , -2. , -3. ]])
Read pcd file
InĀ [32]:
import py3d
py3d.read_pcd("ascii.pcd").xyz.as_point(py3d.Color(r=1,g=0.5,a=0.3))
Out[32]:
InĀ [33]:
import py3d
pcd = py3d.read_pcd("binary.pcd")
print("min", pcd.min())
print("max", pcd.max())
pcd.xyz.as_point(colormap=pcd.w)
min -109.0828628540039 max 1223933577.0853775
Out[33]: